sda
Shrinkage Discriminant Analysis and CAT Score Variable Selection
Provides an efficient framework for high-dimensional linear and diagonal discriminant analysis with variable selection. The classifier is trained using James-Stein-type shrinkage estimators and predictor variables are ranked using correlation-adjusted t-scores (CAT scores). Variable selection error is controlled using false non-discovery rates or higher criticism.
- Version1.3.8
- R version≥ 3.0.2
- LicenseGPL (≥ 3)
- Needs compilation?No
- Last release11/21/2021
Documentation
Team
Korbinian Strimmer
Miika Ahdesmaki, Verena Zuber, Sebastian Gibb, and Korbinian Strimmer
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- Depends4 packages
- Imports2 packages
- Enhances1 package
- Suggests1 package
- Reverse Depends1 package
- Reverse Imports1 package
- Reverse Suggests6 packages
- Reverse Enhances1 package